Demographics details for Forest park, GA vs Paris, KY
Population Overview
Compare main population characteristics in Forest park, GA vs Paris, KY.
| Data | Forest park | Paris |
|---|---|---|
| Population | 19,400 | 10,075 |
| Median Age | 31.3 years | 36.6 years |
| Median Income | $41,837 | $46,752 |
| Married Families | 23.0% | 32.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Forest park vs Paris
- In Forest park, the population is higher at 19,400, compared to 10,075 in Paris.
- The median age in Paris is higher at 36.6 years, compared to 31.3 years in Forest park.
- Paris has a higher median income of $46,752, compared to $41,837 in Forest park.
- In Paris, the percentage of married families is higher at 32.0%, compared to 23.0% in Forest park.
- The poverty level is higher in Paris at 12%, compared to 10% in Forest park.
- The unemployment rate in Forest park is higher at 4.5%, compared to 4.2% in Paris.
Demographics
Demographics Forest park vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Forest park | Paris |
|---|---|---|
| Black | 55 | 8 |
| White | 8 | 79 |
| Asian | 6 | Data is updating |
| Hispanic | 23 | 5 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Forest park vs Paris
- A higher percentage of Black residents are in Forest park at 55% compared to 8% in Paris.
- The percentage of White residents is higher in Paris at 79% compared to 8% in Forest park.
- The Asian population is larger in Forest park at 6% compared to 0% in Paris.
- The Hispanic community is larger in Forest park at 23% compared to 5% in Paris.
- More residents identify as two or more races in Forest park at 8% compared to 7% in Paris.
- In Paris, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest park | Paris |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.9% |
| Physical Health Not Good | 16.0% | 15.0% |
| Depression | 17.8% | 27.5% |
| Smoking | 22.7% | 23.5% |
| Binge Drinking | 13.3% | 14.2% |
| Obesity | 43.0% | 38.8% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Forest park vs Paris
- In Paris, a higher percentage report poor mental health at 19.9% compared to 18.3% in Forest park.
- Higher depression rates are seen in Paris at 27.5% versus 17.8% in Forest park.
- Paris has a higher smoking rate at 23.5% compared to 22.7% in Forest park.
- More residents engage in binge drinking in Paris at 14.2% compared to 13.3% in Forest park.
- Obesity rates are higher in Forest park at 43.0% compared to 38.8% in Paris.
- There is a higher percentage of disabled individuals in Paris at 19.0% compared to 15.0% in Forest park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest park | Paris |
|---|---|---|
| No Schooling | 2.6% (504) | 4.2% (424) |
| High School Diploma | 18.4% (3,567) | 17.8% (1,790) |
| Less than High School | 21.7% (4,202) | 20.9% (2,105) |
| Bachelor's Degree and Higher | 6.4% (1,235) | 13.5% (1,365) |
Education Levels Comparison: Forest park vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 4.2% compared to 2.6% in Forest park.
- A higher percentage of residents in Forest park hold a high school diploma at 18.4% compared to 17.8% in Paris.
- More residents in Forest park have less than a high school education at 21.7% compared to 20.9% in Paris.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 6.4% in Forest park.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.